{"id":"W4205543965","doi":"10.2196/30863","title":"Continuous Monitoring of Vital Signs With Wearable Sensors During Daily Life Activities: Validation Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vital signs; Wearable computer; Metronome; Respiratory rate; Medicine; Wearable technology; Bland–Altman plot; Continuous monitoring; Heart rate; Concurrent validity; Physical medicine and rehabilitation; Physical therapy; Limits of agreement; Computer science; Surgery; Blood pressure; Internal medicine; Engineering; Nuclear medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009073261,0.0002202188,0.0003323945,0.0005735615,0.0006016553,0.00009846492,0.0003416986,0.00004240092,0.00007062446],"category_scores_gemma":[0.00005573415,0.0002199147,0.00005848665,0.001057708,0.00009549913,0.0009082822,0.0003324212,0.0009381138,0.0000189746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005850504,"about_ca_system_score_gemma":0.00007861363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006212445,"about_ca_topic_score_gemma":0.000001370355,"domain_scores_codex":[0.9968358,0.0003775851,0.0003629573,0.0002486258,0.001501012,0.0006739966],"domain_scores_gemma":[0.9988558,0.0003766093,0.00008463422,0.000339594,0.0001911861,0.0001522342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003857209,0.00061696,0.160154,0.0005537496,0.0003831205,0.00008841971,0.05469381,0.05696454,0.7253029,0.00001453518,0.0001073763,0.000734927],"study_design_scores_gemma":[0.00197727,0.002525307,0.025907,0.0002105054,0.00001413759,0.00001893847,0.2263871,0.0002800968,0.7421526,0.00002821546,0.00004595929,0.0004529534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966214,0.00009644536,0.0001980924,0.000007168599,0.0002712332,0.001014322,0.00002987715,0.0001783194,0.001583182],"genre_scores_gemma":[0.9987755,0.00001514604,0.00009075893,4.053065e-7,0.0001546945,0.0007427182,0.000003411546,0.00007268871,0.0001446498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1716932,"threshold_uncertainty_score":0.8967861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215102593399126,"score_gpt":0.3167884724249595,"score_spread":0.2846374464909682,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}